# Examples of Classifiers

**URL:** https://discourse.numenta.org/t/examples-of-classifiers/6897
**Category:** Machine Learning
**Tags:** classification
**Created:** [December 9, 2019, 3:07pm UTC](https://discourse.numenta.org/t/examples-of-classifiers/6897 "2019-12-09T15:07:38Z")
**Posts on this page:** 1
**Showing post:** 7

<div class="post-metadata">

### Author: ![brev](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.numenta.org/brev/32/5548_2.png) [@brev](https://discourse.numenta.org/u/brev)
#### Post date: [January 1, 2020, 8:05am UTC](https://discourse.numenta.org/t/examples-of-classifiers/6897/7 "2020-01-01T08:05:50Z")

</div>

Hi @helena_Thielen,

> [@](#):
>
> In the video there are some figures, that seem to be part of a paper.  
> Where can i find that one? There is nothing mentioned in the slides.

Unfortunately, [we only seem to have](https://discourse.numenta.org/t/how-does-sdrclassifier-make-predictions/6833) the video and code, but no slides or documents. ☹

> [@](#):
>
> I mean do we use the predicted cells as well as the active one? Or just one of these?

[From the author](https://discourse.numenta.org/t/sdrclassifier-bad-choice-of-name/2582/2): “`You can try SDRClassifier with predictedCells, but the default is set to use activeCells for several reasons. First, predictedCells may not even exist if TM hasn’t learned the sequence properly. And there may be a very large number of predicted cells if there are multiple predictions, so the sparsity of the predictedCells will vary more than the activeCells, which can lead to bad performance. Second, the information in the predictedCells should also exist in the activeCells, so SDRClassifier should be able to establish that mapping automatically.`”

Happy New Years, and to everyone!

---

_[View the full topic](https://discourse.numenta.org/t/examples-of-classifiers/6897)._